GE HealthCare announced collaborations with The Queen’s Health Systems in Honolulu and Duke Health in Durham, North Carolina, to advance development of its new AI-driven hospital operations software. Both health systems will contribute frontline expertise to inform GE HealthCare’s forthcoming cloud-first Software as a Service solution, part of the CareIntellect family of applications, designed to provide hospital leaders with actionable insights and predictive analytics for real-time decision-making.
The partnerships address urgent operational pressures facing health systems nationwide. Hospital expenses rose 6 percent year-over-year in 2024, including a 5 percent jump in staff expenses and a 9 percent increase in supply costs. Staffing shortages compound these financial challenges, with the United States anticipating a 10 percent nursing shortage by 2027.
Building on Command Center Foundation
The new solution draws on insights from nearly 500 hospitals and medical facilities that use GE HealthCare’s Command Center software across 55,000 beds globally. According to the company, the application will help hospital leaders anticipate operational needs by providing recommended actions and predictive analytics across bed demand, staffing, and equipment allocation.
“At Queen’s, we believe in the power of technology to empower clinicians and improve patient care,” said Ashley Shearer, Vice President of Care Coordination, Patient Flow, Geriatrics, and Inpatient Rehab at The Queen’s Medical Center. “As a current user of GE HealthCare’s Command Center software, we have seen firsthand how data-driven insights are helping us better advance our mission to deliver the best care in the best possible way.”
Queen’s has achieved measurable results with Command Center. According to the company, Queen’s increased transfer patient admissions by 22.2 percent in the first ten months after opening its hospital operations center, allowing the system to accept 100 additional monthly transfer patients and improving access to care across Hawaii. The health system also achieved a 41.2 percent decrease in emergency department length of stay while maintaining steady admission volumes, a 1.07-day overall decrease in patient length of stay, and an estimated $20 million in savings through reduced length of stay in the first year.
Strategic Focus on Maximizing Existing Resources
GE HealthCare is helping health systems address operational challenges without necessarily adding beds, staff, or relying on physical expansion. The strategy emphasizes maximizing existing resources through intelligent software and predictive insights—a critical capability as hospitals face mounting financial pressures.
“We want to help health systems globally deliver better outcomes for patients,” said Kristie Barazsu, President & Chief Operating Officer of Duke Health Lake Norman Hospital and Vice President of Patient Flow and Transfer Center, Duke University Health System. “That’s why we’re contributing our expertise to shape the ways in which AI is used in healthcare. We’ve seen the impact that technology can have to enhance our overall operations, the care team experience, and the way we support our communities.”
The application will run on GE HealthCare’s CareIntellect cloud-first infrastructure, designed to enable healthcare systems to deploy new applications without costly product-by-product integration. According to the company, CareIntellect applications share common infrastructure that simplifies user experience through enterprise-grade security, centralized identity and access management, single sign-on, centralized billing, standard connections to electronic medical records, and seamless over-the-air updates.
Competitive Landscape and Market Context
GE HealthCare’s hospital operations software development comes as command centers proliferate across healthcare, with major health systems reporting significant operational improvements. Tampa General Hospital credited its command center with saving $40 million in the first 13 months, cutting emergency room diversions by 25 percent, and reducing average length of stays equivalent to adding 30 beds.
Other vendors are advancing similar capabilities. Oracle recently unveiled an AI-driven, cloud-based EHR that integrates with Oracle Health Command Center to offer insights into patient flow, staffing requirements, and resource management. Virtual command center solutions from companies like LeanTaaS and Sickbay provide lightweight, cloud-based alternatives to physical command centers, delivering predictive analytics through mobile interfaces.
The distinction matters: while some competitors focus on virtual distributed models that minimize physical infrastructure, GE HealthCare’s approach combines proven Command Center results with next-generation AI and predictive capabilities accessible through cloud infrastructure. The company’s track record with nearly 500 hospitals provides a foundation for understanding what hospital leaders need from operational intelligence platforms.
User Feedback Central to Development
User feedback is central to GE HealthCare’s customer-driven approach to developing solutions that tackle health systems’ biggest needs. According to the company, the new solution will use AI and predictive analytics to recommend actions, giving hospital leaders the actionable insights and suggestions they need to adjust in real-time to deliver high-quality, efficient care.
“We are continuously innovating and working closely with customers to advance what’s possible with cloud, AI, and software solutions. We look forward to working hand in hand with customers to unlock new opportunities for improved outcomes,” said Bree Bush, General Manager of Command Center. “By bringing in their frontline expertise, clinical knowledge, and operational expertise, we’re accelerating innovation that helps hospitals operate more efficiently, support their staff, and ultimately deliver better care.”
The collaborations with Queen’s and Duke Health represent strategic partnerships with health systems that understand both the potential and practical challenges of implementing advanced hospital operations technology. Queen’s serves a diverse island population across Hawaii, while Duke Health operates a complex academic medical center network—providing GE HealthCare with insights from different operational contexts.
Patient-Centered Impact Through Operational Excellence
For patients, improved hospital operations translate directly into better care experiences. Reduced emergency department wait times, faster bed assignments, more efficient transfers, and shorter overall length of stay all contribute to improved patient satisfaction and outcomes. The predictive capabilities also enable hospitals to maintain quality care during surge periods without the chaos that often accompanies unexpected volume increases.
The technology addresses a fundamental challenge in healthcare delivery: hospitals generate vast amounts of operational data but struggle to convert that data into real-time actionable intelligence. By synthesizing information across multiple systems and applying AI to identify patterns and predict needs, the new software aims to give hospital leaders the visibility and recommendations they need to make better decisions faster.
As health systems navigate financial constraints, workforce shortages, and increasing patient complexity, AI-driven operational intelligence platforms represent strategic investments in institutional resilience. The collaborations announced by GE HealthCare underscore a broader industry recognition that improving hospital operations requires not just better technology, but technology informed by frontline clinical and operational expertise.
— This original article was created with AI support.
